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Background: Autosomal dominant polycystic kidney disease (ADPKD) is caused primarily by pathogenic variants in the PKD1 and PKD2 genes. Although the type of ADPKD variant can influence disease severity, rare, hypomorphic PKD1 variants have also been reported to modify disease severity or cause biallelic ADPKD. This study examines whether rare, additional, potentially protein-altering, non-pathogenic PKD1 variants contribute to ADPKD phenotypic outcomes.

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Purpose: Women with gestational diabetes (GDM) have increased risk of hypertensive disorders in pregnancy (HDP). However, knowledge remains limited for women with high-risk metabolic profiles, regardless of GDM diagnosis. This study aimed to evaluate the prevalence of HDP among women at high risk for GDM, while simultaneously identifying potential predictive clinical risk factors of HDP.

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Aims: This study evaluated the effects of circuit resistance training (CRT), a vegetarian/Mediterranean diet (VegMedD), and empagliflozin on Resting Metabolic Rate (RMR) in older adults with Type 2 Diabetes (T2DM).

Methods: 67 participants from CEV-65 trial (≥65 years, 61 % female) were randomly assigned to CRT, VegMedD, or empagliflozin for 10 weeks. Assessments included RMR, medical, metabolic, nutritional, anthropometric and functional measurements.

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Introduction: Nutrition during pregnancy significantly impacts maternal and birth outcomes. A key factor contributing to the rise in adverse maternal and birth outcomes is poor nutrition. Produce prescription programs have the potential to address pregnancy-related adverse outcomes such as hypertensive disorders and gestational diabetes, but scientific evidence is limited.

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Development and Evaluation of a Hypertension Prediction Model for Community-Based Screening of Sleep-Disordered Breathing.

Nat Sci Sleep

January 2025

Sleep Center, Department of Geriatric Respiratory, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.

Purpose: Approximately 30% of patients with sleep-disordered breathing (SDB) present with masked hypertension, primarily characterized by elevated nighttime blood pressure. This study aimed to develop a hypertension prediction model tailored for primary care physicians, utilizing simple, readily available predictors derived from type IV sleep monitoring devices.

Patients And Methods: Participants were recruited from communities in Guangdong Province, China, between April and May 2021.

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